Gernot Riegler
Gernot Riegler
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OctNet: Learning Deep 3D Representations at High Resolutions
G Riegler, AO Ulusoy, A Geiger
arXiv preprint arXiv:1611.05009, 2016
Octnetfusion: Learning depth fusion from data
G Riegler, AO Ulusoy, H Bischof, A Geiger
2017 International Conference on 3D Vision (3DV), 57-66, 2017
Atgv-net: Accurate depth super-resolution
G Riegler, M Rüther, H Bischof
European conference on computer vision, 268-284, 2016
Efficiently creating 3d training data for fine hand pose estimation
M Oberweger, G Riegler, P Wohlhart, V Lepetit
Proceedings of the IEEE conference on computer vision and pattern …, 2016
Conditioned Regression Models for Non-Blind Single Image Super-Resolution
G Riegler, S Schulter, M Rüther, H Bischof
International Conference on Computer Vision, 2015
A deep primal-dual network for guided depth super-resolution
G Riegler, D Ferstl, M Rüther, H Bischof
arXiv preprint arXiv:1607.08569, 2016
Hough Networks for Head Pose Estimation and Facial Feature Localization
G Riegler, D Ferstl, M Rüther, H Bischof
British Machine Vision Conference, 2014
Real-time flare detection in ground-based Hα imaging at Kanzelhöhe Observatory
W Pötzi, AM Veronig, G Riegler, U Amerstorfer, T Pock, M Temmer, ...
Solar physics 290 (3), 951-977, 2015
Learning Depth Calibration of Time-of-Flight Cameras.
D Ferstl, C Reinbacher, G Riegler, M Rüther, H Bischof
BMVC, 102.1-102.12, 2015
CP-Census: A Novel Model for Dense Variational Scene Flow from RGB-D Data
D Ferstl, G Riegler, M Ruether, H Bischof
British Machine Vision Conference, 2014
Free view synthesis
G Riegler, V Koltun
European Conference on Computer Vision, 623-640, 2020
A framework for articulated hand pose estimation and evaluation
G Riegler, D Ferstl, M Rüther, H Bischof
Scandinavian Conference on Image Analysis, 41-52, 2015
Anatomical landmark detection in medical applications driven by synthetic data
G Riegler, M Urschler, M Ruther, H Bischof, D Stern
Proceedings of the IEEE International Conference on Computer Vision …, 2015
Nerf++: Analyzing and improving neural radiance fields
K Zhang, G Riegler, N Snavely, V Koltun
arXiv preprint arXiv:2010.07492, 2020
Depth Restoration via Joint Training of a Global Regression Model and CNNs
G Riegler, R Ranftl, M Rüther, T Pock, H Bischof
Proceedings of the British Machine Vision Conference (BMVC), 2015
aTGV-SF: Dense variational scene flow through projective warping and higher order regularization
D Ferstl, C Reinbacher, G Riegler, M Rüther, H Bischof
2014 2nd International Conference on 3D Vision 1, 285-292, 2014
Connecting the dots: Learning representations for active monocular depth estimation
G Riegler, Y Liao, S Donne, V Koltun, A Geiger
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Filament and Flare Detection in H {\alpha} image sequences
G Riegler, T Pock, W Pötzi, A Veronig
arXiv preprint arXiv:1304.7132, 2013
Flare and filament detection in Hα solar image sequences
GE Riegler
na, 2013
Stable View Synthesis
G Riegler, V Koltun
arXiv preprint arXiv:2011.07233, 2020
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